About The Position

The Associate, Systems Engineering role at Goldman Sachs Services LLC in Dallas, Texas involves developing expertise across various engineering domains including networks, storage, operating systems, databases, communications, and software languages. The position contributes to the design and development of the firm’s computer and data infrastructure by identifying internal hardware and implementing public and private cloud-based solutions for seamless on-demand scaling of applications. Key responsibilities include assisting in the creation of automated testing processes, standards, solutions, and tools to ensure smooth business operations. The role also involves applying data analysis techniques to identify and address infrastructure and platform problems, resolving application issues by documenting error resolutions, and minimizing operational errors. Additionally, the position supports the development and monitoring of reports for application health and performance, monitors production environment risks and change management processes, and improves application stability and performance through machine learning and discrepancy analysis. The role requires reviewing and assessing production incidents, communicating with stakeholders, developing sustainable systems via automation and performance tuning, and assisting with business continuity and disaster recovery planning.

Requirements

  • Master’s degree (U.S. or foreign equivalent) in Computer Science, Electrical & Computer Engineering, Information Systems/Technology, or related field and one (1) year of experience in job offered or related Systems Engineering role OR Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Electrical & Computer Engineering, Information Systems/Technology, or related field and three (3) years of experience in job offered or related Systems Engineering role.
  • Prior employment must include one (1) year of experience (with a Master’s) OR three (3) years of experience (with a Bachelor’s) with: performance tuning and troubleshooting application issues utilizing Oracle, code debugging, or log analysis; software development using UNIX operating system, Shell scripting, or Python; supporting database systems utilizing technologies such as DB2; working with the full Software Development Life Cycle (SDLC) including requirements gathering, design, prioritization, coding testing, release, and support; SQL performance, tuning, and diagnosing potential performance issues by analyzing query execution plans and setting up disaster recovery; and performing systems management for Windows platforms such as Microsoft Configuration Manager or comparable enterprise systems management products.

Responsibilities

  • Develop expertise across all Engineering, including, networks, storage, operating systems, databases, communications, and software languages.
  • Contribute to the design and development of the firm’s computer and data infrastructure by identifying internal hardware and implementing public and private cloud-based solutions to provide seamless on-demand scaling of the firm's applications.
  • Assist in the creation of automated testing processes, standards, solutions and tools to ensure smooth operation of the firm’s businesses.
  • Apply data analysis techniques to identify and react to problems in the firm’s infrastructure and platforms.
  • Identify, analyze, and resolve application issues by documenting repetitive error resolutions and minimizing operational errors.
  • Assist in developing and monitoring reports to track and manage application health and support application service performance.
  • Assist in monitoring risk in the production environment and change management processes.
  • Help to improve application stability and performance by automating failures using machine learning techniques and analyzing discrepancies and trends.
  • Review and assess production incidents and communicate with users, applications owners, vendors, and internal and external stakeholders.
  • Develop sustainable systems and services through automation, performance tuning and database queries.
  • Assist with business continuity planning and disaster recovery and plan appropriate contingency plans.
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